Research Article
BibTex RIS Cite

Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey

Year 2025, Volume: 21 Issue: 1, 75 - 89, 26.03.2025
https://doi.org/10.18466/cbayarfbe.1589809

Abstract

The global demand for energy continues to rise, driving the need for sustainable and efficient energy solutions. This study presents a comprehensive framework that combines the fuzzy best-worst method (BWM) with geographic information systems (GIS) to optimize solar power plant site selection. Eight criteria, including solar irradiation, slope, aspect, and proximity to infrastructure and water resources, were evaluated using the fuzzy BWM approach. These weighted criteria were integrated into GIS to create a suitability map, categorized into five levels of potential. The proposed framework was applied to Konya, Türkiye, a region with abundant solar energy resources, and highly suitable sites for solar photovoltaic (PV) power plant development were successfully identified. Furthermore, a sensitivity analysis was conducted to validate the robustness of the results. The findings demonstrate the framework’s potential as a reliable decision-support tool for energy planners and policymakers, offering a replicable model for regions with similar characteristics.

References

  • [1]. Noorollahi Y, Ghenaatpisheh Senani A, Fadaei A, Simaee M, Moltames R. 2022. A framework for GIS-based site selection and technical potential evaluation of PV solar farm using Fuzzy-Boolean logic and AHP multi-criteria decision-making approach. Renew. Energy;186: 89.
  • [2]. Arvizu D et al. 2011. Renewable Energy Sources and Climate Change Mitigation: Direct Solar Energy. Renew. Energy Sources Clim. Chang. Mitig.;333.
  • [3]. ENR. Turkey National Energy Plan. Ankara. 2022.
  • [4]. Bandira PNA et al. 2022. Optimal Solar Farm Site Selection in the George Town Conurbation Using GIS-Based Multi-Criteria Decision Making (MCDM) and NASA POWER Data. Atmos.;13(12): 2105.
  • [5]. Khan A, Ali Y, Pamucar D. 2023. Solar PV power plant site selection using a GIS-based non-linear multi-criteria optimization technique. Environ. Sci. Pollut. Res.;30(20): 57378.
  • [6]. Hooshangi N, Mahdizadeh Gharakhanlou N, Ghaffari Razin SR. 2023. Evaluation of potential sites in Iran to localize solar farms using a GIS-based Fermatean Fuzzy TOPSIS. J. Clean. Prod.;384: 135481.
  • [7]. Heo J, Moon H, Chang S, Han S, Lee DE. 2021. Case study of solar photovoltaic power-plant site selection for infrastructure planning using a bim-gis-based approach. Appl. Sci.;11(18): 8785.
  • [8]. Kocabaldır C, Yücel MA. 2023. GIS-based multicriteria decision analysis for spatial planning of solar photovoltaic power plants in Çanakkale province, Turkey. Renew. Energy;212: 455.
  • [9]. Türk S, Koç A, Şahin G. 2021. Multi-criteria of PV solar site selection problem using GIS-intuitionistic fuzzy based approach in Erzurum province/Turkey. Sci. Rep.;11(1): 5034.
  • [10]. Shorabeh SN, Firozjaei MK, Nematollahi O, Firozjaei HK, Jelokhani-Niaraki M. 2019. A risk-based multi-criteria spatial decision analysis for solar power plant site selection in different climates: A case study in Iran. Renew. Energy;143: 958.
  • [11]. Akkas OP, Erten MY, Cam E, Inanc N. 2017. Optimal Site Selection for a Solar Power Plant in the Central Anatolian Region of Turkey. Int. J. Photoenergy;2017: 1.
  • [12]. Aktas A, Kabak M. 2019. A Hybrid Hesitant Fuzzy Decision-Making Approach for Evaluating Solar Power Plant Location Sites. Arab. J. Sci. Eng.;44(8): 7235.
  • [13]. Aragonés-Beltrán P, Chaparro-González F, Pastor-Ferrando JP, Rodríguez-Pozo F. 2010. An ANP-based approach for the selection of photovoltaic solar power plant investment projects. Renew. Sustain. Energy Rev.;14(1): 249.
  • [14]. Colak HE, Memisoglu T, Gercek Y. 2020. Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey. Renew. Energy;149: 565.
  • [15]. Al Garni HZ, Awasthi A. 2017. Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia. Appl. Energy;206: 1225.
  • [16]. Lee AHI, Kang HY, Liou YJ. 2017. A Hybrid Multiple-Criteria Decision-Making Approach for Photovoltaic Solar Plant Location Selection. Sustain. 2017, Vol. 9, Page 184;9(2): 184.
  • [17]. Badi I, Pamucar D, Gigović L, Tatomirović S. 2021. Optimal site selection for sitting a solar park using a novel GIS- SWA’TEL model: A case study in Libya. Int. J. Green Energy;18(4): 336.
  • [18]. Zoghi M, Houshang Ehsani A, Sadat M, javad Amiri M, Karimi S. 2017. Optimization solar site selection by fuzzy logic model and weighted linear combination method in arid and semi-arid region: A case study Isfahan-IRAN. Renew. Sustain. Energy Rev.;68: 986.
  • [19]. Alipour M, Alighaleh S, Hafezi R, Omranievardi M. 2017. A new hybrid decision framework for prioritizing funding allocation to Iran’s energy sector. Energy;121: 388.
  • [20]. Aghaloo K, Ali T, Chiu YR, Sharifi A. 2023. Optimal site selection for the solar-wind hybrid renewable energy systems in Bangladesh using an integrated GIS-based BWM-fuzzy logic method. Energy Convers. Manag.;283: 116899.
  • [21]. Onar SC, Oztaysi B, Otay İ, Kahraman C. 2015. Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets. Energy;90, Part 1: 274.
  • [22]. Hocine A, Kouaissah N, Bettahar S, Benbouziane M. 2018. Optimizing renewable energy portfolios under uncertainty: A multi-segment fuzzy goal programming approach. Renew. Energy;129: 540.
  • [23]. Alshamrani A, Majumder P, Das A, Hezam IM, Božanić D. 2023. An Integrated BWM-TOPSIS-I Approach to Determine the Ranking of Alternatives and Application of Sustainability Analysis of Renewable Energy. Axioms 2023, Vol. 12, Page 159;12(2): 159.
  • [24]. Konurhan Z, Yucesan M, Gul M. 2023. A GIS-Based BWM Approach for the Location Selection of Solar Power Plant in Tunceli Province (Turkey). Lect. Notes Oper. Res.;87.
  • [25]. Shayani Mehr P, Hafezalkotob A, Fardi K, Seiti H, Movahedi Sobhani F, Hafezalkotob A. 2022. A comprehensive framework for solar panel technology selection: A BWM- MULTIMOOSRAL approach. Energy Sci. Eng.;10(12): 4595.
  • [26]. Mostafaeipour A, Hosseini Dehshiri SS, Hosseini Dehshiri SJ, Almutairi K, Taher R, Issakhov A, Techato K. 2021. A thorough analysis of renewable hydrogen projects development in Uzbekistan using MCDM methods. Int. J. Hydrogen Energy;46(61): 31174.
  • [27]. Ecer F. 2021. Sustainability assessment of existing onshore wind plants in the context of triple bottom line: a best-worst method (BWM) based MCDM framework. Environ. Sci. Pollut. Res.;28(16): 19677.
  • [28]. Besharati Fard M, Moradian P, Emarati M, Ebadi M, Gholamzadeh Chofreh A, Klemeŝ JJ. 2022. Ground-mounted photovoltaic power station site selection and economic analysis based on a hybrid fuzzy best-worst method and geographic information system: A case study Guilan province. Renew. Sustain. Energy Rev.;169: 112923.
  • [29]. Guo S, Zhao H. 2017. Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Based Syst.;121: 23.
  • [30]. Dong J, Wan S, Chen SM. 2021. Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making. Inf. Sci. (Ny).;547: 1080.
  • [31]. KMM. Konya Annual Electricity Consumption in Industry and Residential.2020.
  • [32]. GEPA. 2024. Solar Energy Potential Atlas. Repub. Türkiye Minist. Energy Nat. Resour.;https://gepa.enerji.gov.tr/MyCalculator/.
  • [33]. MGM. 2024. Seasonal normals for provinces in Turkey. Turkish State Meteorol. Serv.;https://www.mgm.gov.tr/eng/forecast-cities.aspx?m=KONYA.
  • [34]. Deveci M, Cali U, Pamucar D. 2021. Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients. Energy Reports;7: 8805.
  • [35]. Tercan E, Eymen A, Urfalı T, Saracoglu BO. 2021. A sustainable framework for spatial planning of photovoltaic solar farms using GIS and multi-criteria assessment approach in Central Anatolia, Turkey. Land use policy;102: 105272.
  • [36]. Günen MA. 2021. A comprehensive framework based on GIS-AHP for the installation of solar PV farms in Kahramanmaraş, Turkey. Renew. Energy;178: 212.
  • [37]. Doorga JRS, Rughooputh SDDV, Boojhawon R. 2019. Multi-criteria GIS-based modelling technique for identifying potential solar farm sites: A case study in Mauritius. Renew. Energy;133: 1201.
  • [38]. Günen MA. 2021. Determination of the suitable sites for constructing solar photovoltaic (PV) power plants in Kayseri, Turkey using GIS-based ranking and AHP methods. Environ. Sci. Pollut. Res.;28(40): 57232.
  • [39]. Rios R, Duarte S. 2021. Selection of ideal sites for the development of large-scale solar photovoltaic projects through Analytical Hierarchical Process – Geographic information systems (AHP-GIS) in Peru. Renew. Sustain. Energy Rev.;149: 111310.
  • [40]. Uyan M. 2017. Optimal site selection for solar power plants using multi-criteria evaluation: A case study from the Ayranci region in Karaman, Turkey. Clean Technol. Environ. Policy;19(9): 2231.
  • [41]. Akinci H, Özalp AY. 2022. Optimal site selection for solar photovoltaic power plants using geographical information systems and fuzzy logic approach: a case study in Artvin, Turkey. Arab. J. Geosci. 2022 159;15(9): 1.
  • [42]. Giamalaki M, Tsoutsos T. 2019. Sustainable siting of solar power installations in Mediterranean using a GIS/AHP approach. Renew. Energy;141: 64.
  • [43]. Sun L, Jiang Y, Guo Q, Ji L, Xie Y, Qiao Q, Huang G, Xiao K. 2021. A GIS-based multi-criteria decision making method for the potential assessment and suitable sites selection of PV and CSP plants. Resour. Conserv. Recycl.;168: 105306.
  • [44]. Coruhlu YE, Solgun N, Baser V, Terzi F. 2022. Revealing the solar energy potential by integration of GIS and AHP in order to compare decisions of the land use on the environmental plans. Land use policy;113: 105899.
  • [45]. Alami Merrouni A, Elwali Elalaoui F, Mezrhab A, Mezrhab A, Ghennioui A. 2018. Large scale PV sites selection by combining GIS and Analytical Hierarchy Process. Case study: Eastern Morocco. Renew. Energy;119: 863.
  • [46]. Yushchenko A, de Bono A, Chatenoux B, Patel MK, Ray N. 2018. GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa. Renew. Sustain. Energy Rev.;81: 2088.
  • [47]. Rezaei J. 2015. Best-worst multi-criteria decision-making method. Omega (United Kingdom);53: 49.
  • [48]. Salimi N, Rezaei J. 2018. Evaluating firms’ R&D performance using best worst method. Eval. Program Plann.;66: 147.
  • [49]. van de Kaa G, Fens T, Rezaei J, Kaynak D, Hatun Z, Tsilimeni-Archangelidi A. 2019. Realizing smart meter connectivity: Analyzing the competing technologies Power line communication, mobile telephony, and radio frequency using the best worst method. Renew. Sustain. Energy Rev.;103: 320.
  • [50]. Rezaei J, van Roekel WS, Tavasszy L. 2018. Measuring the relative importance of the logistics performance index indicators using Best Worst Method. Transp. Policy;68: 158.
  • [51]. Rezaei J. 2016. Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega (United Kingdom);64: 126

CBS ve Bulanık BWM Kullanarak Güneş Enerjisi Santrali Yer Seçimi için Yeni Bir Çerçeve

Year 2025, Volume: 21 Issue: 1, 75 - 89, 26.03.2025
https://doi.org/10.18466/cbayarfbe.1589809

Abstract

Dünya genelinde enerjiye olan talebin giderek artmasıyla birlikte, sürdürülebilir alternatiflere yönelmek zorunlu hale gelmiştir. Bu çalışma, güneş enerjisi santrali sahalarının optimum seçimini kolaylaştırmak için bulanık en iyi-en kötü yöntemi (BWM) ve coğrafi bilgi sistemlerini (CBS) entegre eden yeni bir çerçeve sunmaktadır. Bulanık BWM kullanılarak çeşitli kriterlerin kapsamlı bir değerlendirmesi ve CBS'deki mekansal verilerle entegrasyonu yoluyla, bir uygunluk haritası geliştirilmiş ve beş seviyeye ayrılmıştır. Bu çerçeve Konya, Türkiye'de uygulanmış ve güneş enerjisi kaynaklarının verimli ve sürdürülebilir kullanımını sağlayarak güneş fotovoltaik (PV) enerji santrali projeleri için uygun sahaların belirlenmesindeki etkinliğini göstermiştir. Bu yaklaşım, önemli güneş enerjisi potansiyeline sahip bölgelerdeki planlamacılar ve geliştiriciler için sağlam bir karar verme aracı olarak hizmet etmektedir.

References

  • [1]. Noorollahi Y, Ghenaatpisheh Senani A, Fadaei A, Simaee M, Moltames R. 2022. A framework for GIS-based site selection and technical potential evaluation of PV solar farm using Fuzzy-Boolean logic and AHP multi-criteria decision-making approach. Renew. Energy;186: 89.
  • [2]. Arvizu D et al. 2011. Renewable Energy Sources and Climate Change Mitigation: Direct Solar Energy. Renew. Energy Sources Clim. Chang. Mitig.;333.
  • [3]. ENR. Turkey National Energy Plan. Ankara. 2022.
  • [4]. Bandira PNA et al. 2022. Optimal Solar Farm Site Selection in the George Town Conurbation Using GIS-Based Multi-Criteria Decision Making (MCDM) and NASA POWER Data. Atmos.;13(12): 2105.
  • [5]. Khan A, Ali Y, Pamucar D. 2023. Solar PV power plant site selection using a GIS-based non-linear multi-criteria optimization technique. Environ. Sci. Pollut. Res.;30(20): 57378.
  • [6]. Hooshangi N, Mahdizadeh Gharakhanlou N, Ghaffari Razin SR. 2023. Evaluation of potential sites in Iran to localize solar farms using a GIS-based Fermatean Fuzzy TOPSIS. J. Clean. Prod.;384: 135481.
  • [7]. Heo J, Moon H, Chang S, Han S, Lee DE. 2021. Case study of solar photovoltaic power-plant site selection for infrastructure planning using a bim-gis-based approach. Appl. Sci.;11(18): 8785.
  • [8]. Kocabaldır C, Yücel MA. 2023. GIS-based multicriteria decision analysis for spatial planning of solar photovoltaic power plants in Çanakkale province, Turkey. Renew. Energy;212: 455.
  • [9]. Türk S, Koç A, Şahin G. 2021. Multi-criteria of PV solar site selection problem using GIS-intuitionistic fuzzy based approach in Erzurum province/Turkey. Sci. Rep.;11(1): 5034.
  • [10]. Shorabeh SN, Firozjaei MK, Nematollahi O, Firozjaei HK, Jelokhani-Niaraki M. 2019. A risk-based multi-criteria spatial decision analysis for solar power plant site selection in different climates: A case study in Iran. Renew. Energy;143: 958.
  • [11]. Akkas OP, Erten MY, Cam E, Inanc N. 2017. Optimal Site Selection for a Solar Power Plant in the Central Anatolian Region of Turkey. Int. J. Photoenergy;2017: 1.
  • [12]. Aktas A, Kabak M. 2019. A Hybrid Hesitant Fuzzy Decision-Making Approach for Evaluating Solar Power Plant Location Sites. Arab. J. Sci. Eng.;44(8): 7235.
  • [13]. Aragonés-Beltrán P, Chaparro-González F, Pastor-Ferrando JP, Rodríguez-Pozo F. 2010. An ANP-based approach for the selection of photovoltaic solar power plant investment projects. Renew. Sustain. Energy Rev.;14(1): 249.
  • [14]. Colak HE, Memisoglu T, Gercek Y. 2020. Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey. Renew. Energy;149: 565.
  • [15]. Al Garni HZ, Awasthi A. 2017. Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia. Appl. Energy;206: 1225.
  • [16]. Lee AHI, Kang HY, Liou YJ. 2017. A Hybrid Multiple-Criteria Decision-Making Approach for Photovoltaic Solar Plant Location Selection. Sustain. 2017, Vol. 9, Page 184;9(2): 184.
  • [17]. Badi I, Pamucar D, Gigović L, Tatomirović S. 2021. Optimal site selection for sitting a solar park using a novel GIS- SWA’TEL model: A case study in Libya. Int. J. Green Energy;18(4): 336.
  • [18]. Zoghi M, Houshang Ehsani A, Sadat M, javad Amiri M, Karimi S. 2017. Optimization solar site selection by fuzzy logic model and weighted linear combination method in arid and semi-arid region: A case study Isfahan-IRAN. Renew. Sustain. Energy Rev.;68: 986.
  • [19]. Alipour M, Alighaleh S, Hafezi R, Omranievardi M. 2017. A new hybrid decision framework for prioritizing funding allocation to Iran’s energy sector. Energy;121: 388.
  • [20]. Aghaloo K, Ali T, Chiu YR, Sharifi A. 2023. Optimal site selection for the solar-wind hybrid renewable energy systems in Bangladesh using an integrated GIS-based BWM-fuzzy logic method. Energy Convers. Manag.;283: 116899.
  • [21]. Onar SC, Oztaysi B, Otay İ, Kahraman C. 2015. Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets. Energy;90, Part 1: 274.
  • [22]. Hocine A, Kouaissah N, Bettahar S, Benbouziane M. 2018. Optimizing renewable energy portfolios under uncertainty: A multi-segment fuzzy goal programming approach. Renew. Energy;129: 540.
  • [23]. Alshamrani A, Majumder P, Das A, Hezam IM, Božanić D. 2023. An Integrated BWM-TOPSIS-I Approach to Determine the Ranking of Alternatives and Application of Sustainability Analysis of Renewable Energy. Axioms 2023, Vol. 12, Page 159;12(2): 159.
  • [24]. Konurhan Z, Yucesan M, Gul M. 2023. A GIS-Based BWM Approach for the Location Selection of Solar Power Plant in Tunceli Province (Turkey). Lect. Notes Oper. Res.;87.
  • [25]. Shayani Mehr P, Hafezalkotob A, Fardi K, Seiti H, Movahedi Sobhani F, Hafezalkotob A. 2022. A comprehensive framework for solar panel technology selection: A BWM- MULTIMOOSRAL approach. Energy Sci. Eng.;10(12): 4595.
  • [26]. Mostafaeipour A, Hosseini Dehshiri SS, Hosseini Dehshiri SJ, Almutairi K, Taher R, Issakhov A, Techato K. 2021. A thorough analysis of renewable hydrogen projects development in Uzbekistan using MCDM methods. Int. J. Hydrogen Energy;46(61): 31174.
  • [27]. Ecer F. 2021. Sustainability assessment of existing onshore wind plants in the context of triple bottom line: a best-worst method (BWM) based MCDM framework. Environ. Sci. Pollut. Res.;28(16): 19677.
  • [28]. Besharati Fard M, Moradian P, Emarati M, Ebadi M, Gholamzadeh Chofreh A, Klemeŝ JJ. 2022. Ground-mounted photovoltaic power station site selection and economic analysis based on a hybrid fuzzy best-worst method and geographic information system: A case study Guilan province. Renew. Sustain. Energy Rev.;169: 112923.
  • [29]. Guo S, Zhao H. 2017. Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Based Syst.;121: 23.
  • [30]. Dong J, Wan S, Chen SM. 2021. Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making. Inf. Sci. (Ny).;547: 1080.
  • [31]. KMM. Konya Annual Electricity Consumption in Industry and Residential.2020.
  • [32]. GEPA. 2024. Solar Energy Potential Atlas. Repub. Türkiye Minist. Energy Nat. Resour.;https://gepa.enerji.gov.tr/MyCalculator/.
  • [33]. MGM. 2024. Seasonal normals for provinces in Turkey. Turkish State Meteorol. Serv.;https://www.mgm.gov.tr/eng/forecast-cities.aspx?m=KONYA.
  • [34]. Deveci M, Cali U, Pamucar D. 2021. Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients. Energy Reports;7: 8805.
  • [35]. Tercan E, Eymen A, Urfalı T, Saracoglu BO. 2021. A sustainable framework for spatial planning of photovoltaic solar farms using GIS and multi-criteria assessment approach in Central Anatolia, Turkey. Land use policy;102: 105272.
  • [36]. Günen MA. 2021. A comprehensive framework based on GIS-AHP for the installation of solar PV farms in Kahramanmaraş, Turkey. Renew. Energy;178: 212.
  • [37]. Doorga JRS, Rughooputh SDDV, Boojhawon R. 2019. Multi-criteria GIS-based modelling technique for identifying potential solar farm sites: A case study in Mauritius. Renew. Energy;133: 1201.
  • [38]. Günen MA. 2021. Determination of the suitable sites for constructing solar photovoltaic (PV) power plants in Kayseri, Turkey using GIS-based ranking and AHP methods. Environ. Sci. Pollut. Res.;28(40): 57232.
  • [39]. Rios R, Duarte S. 2021. Selection of ideal sites for the development of large-scale solar photovoltaic projects through Analytical Hierarchical Process – Geographic information systems (AHP-GIS) in Peru. Renew. Sustain. Energy Rev.;149: 111310.
  • [40]. Uyan M. 2017. Optimal site selection for solar power plants using multi-criteria evaluation: A case study from the Ayranci region in Karaman, Turkey. Clean Technol. Environ. Policy;19(9): 2231.
  • [41]. Akinci H, Özalp AY. 2022. Optimal site selection for solar photovoltaic power plants using geographical information systems and fuzzy logic approach: a case study in Artvin, Turkey. Arab. J. Geosci. 2022 159;15(9): 1.
  • [42]. Giamalaki M, Tsoutsos T. 2019. Sustainable siting of solar power installations in Mediterranean using a GIS/AHP approach. Renew. Energy;141: 64.
  • [43]. Sun L, Jiang Y, Guo Q, Ji L, Xie Y, Qiao Q, Huang G, Xiao K. 2021. A GIS-based multi-criteria decision making method for the potential assessment and suitable sites selection of PV and CSP plants. Resour. Conserv. Recycl.;168: 105306.
  • [44]. Coruhlu YE, Solgun N, Baser V, Terzi F. 2022. Revealing the solar energy potential by integration of GIS and AHP in order to compare decisions of the land use on the environmental plans. Land use policy;113: 105899.
  • [45]. Alami Merrouni A, Elwali Elalaoui F, Mezrhab A, Mezrhab A, Ghennioui A. 2018. Large scale PV sites selection by combining GIS and Analytical Hierarchy Process. Case study: Eastern Morocco. Renew. Energy;119: 863.
  • [46]. Yushchenko A, de Bono A, Chatenoux B, Patel MK, Ray N. 2018. GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa. Renew. Sustain. Energy Rev.;81: 2088.
  • [47]. Rezaei J. 2015. Best-worst multi-criteria decision-making method. Omega (United Kingdom);53: 49.
  • [48]. Salimi N, Rezaei J. 2018. Evaluating firms’ R&D performance using best worst method. Eval. Program Plann.;66: 147.
  • [49]. van de Kaa G, Fens T, Rezaei J, Kaynak D, Hatun Z, Tsilimeni-Archangelidi A. 2019. Realizing smart meter connectivity: Analyzing the competing technologies Power line communication, mobile telephony, and radio frequency using the best worst method. Renew. Sustain. Energy Rev.;103: 320.
  • [50]. Rezaei J, van Roekel WS, Tavasszy L. 2018. Measuring the relative importance of the logistics performance index indicators using Best Worst Method. Transp. Policy;68: 158.
  • [51]. Rezaei J. 2016. Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega (United Kingdom);64: 126
There are 51 citations in total.

Details

Primary Language English
Subjects Multiple Criteria Decision Making
Journal Section Articles
Authors

Ömer Öztaş 0000-0002-0028-9567

Bilal Ervural 0000-0002-5206-7632

Publication Date March 26, 2025
Submission Date November 22, 2024
Acceptance Date February 4, 2025
Published in Issue Year 2025 Volume: 21 Issue: 1

Cite

APA Öztaş, Ö., & Ervural, B. (2025). Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey. Celal Bayar University Journal of Science, 21(1), 75-89. https://doi.org/10.18466/cbayarfbe.1589809
AMA Öztaş Ö, Ervural B. Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey. CBUJOS. March 2025;21(1):75-89. doi:10.18466/cbayarfbe.1589809
Chicago Öztaş, Ömer, and Bilal Ervural. “Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey”. Celal Bayar University Journal of Science 21, no. 1 (March 2025): 75-89. https://doi.org/10.18466/cbayarfbe.1589809.
EndNote Öztaş Ö, Ervural B (March 1, 2025) Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey. Celal Bayar University Journal of Science 21 1 75–89.
IEEE Ö. Öztaş and B. Ervural, “Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey”, CBUJOS, vol. 21, no. 1, pp. 75–89, 2025, doi: 10.18466/cbayarfbe.1589809.
ISNAD Öztaş, Ömer - Ervural, Bilal. “Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey”. Celal Bayar University Journal of Science 21/1 (March 2025), 75-89. https://doi.org/10.18466/cbayarfbe.1589809.
JAMA Öztaş Ö, Ervural B. Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey. CBUJOS. 2025;21:75–89.
MLA Öztaş, Ömer and Bilal Ervural. “Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey”. Celal Bayar University Journal of Science, vol. 21, no. 1, 2025, pp. 75-89, doi:10.18466/cbayarfbe.1589809.
Vancouver Öztaş Ö, Ervural B. Integrating GIS and Fuzzy BWM for Solar PV Power Plant Site Selection: A Case Study of Konya, Turkey. CBUJOS. 2025;21(1):75-89.